Blockchain and IPFS-based authentication method for speech BioHash content

Abstract

Nowadays, there are various ways to protect the authenticity and reliability of voice data during transmission such as digital signature and voice encryption, but these ways inevitably change a small amount of voice frames and data content. In order to prevent problems such as voice data content being easily tampered and stolen during transmission and improve the security of voice data content in the cloud. In this paper, a voice BioHash content authentication method based on blockchain and IPFS is proposed by using the voice BioHash method and combining the blockchain technology and the characteristics of interstellar file system. The method first uses improved spectral entropy method and spectral flux for feature fusion, and Chebyshev-Sine function constitutes a pseudo-random matrix projection mapping and binarization processing to generate voice BioHash, store the BioHash in the block transaction information, upload the voice to the Interstellar File System, query the block transaction information to retrieve the voice related information during authentication, and return the authentication result by matching completion of authentication. The experimental results show that the method has high collision resistance and authentication efficiency, and the voice BioHash method has better differentiation and robustness.